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Water Content Estimation and Control of PEM Fuel Cell Stack and the Individual Cell in Vehicle / by Po Hong

By: Hong, Po, autor
Material type: materialTypeLabelE-bookSeries: (Springer Theses Recognizing Outstanding Ph.D. Research, 2190-5061).Publisher: Singapore : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (XII, 149 páginas) : 92 ilustraciones, 65 ilustraciones a color.ISBN: 9789811688140.Subject: Pilas de combustibleOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Modeling of water content in MEA for the PEM fuel cell -- Approach to online AC impedance measurement of the fuel cell -- Water content estimation of the PEM fuel cell -- Water management strategy for the PEM fuel cell.
Summary: This book focuses on water content estimation and control of the PEM fuel cell stack and the individual cell in vehicle. Firstly, the mathematical connection between polarization curve and equivalent circuit model proves importance of MEA and its feasibility to study water content. Optimizing structure of MEA realizes the internal water content recirculation of a fuel cell and improves its performance under middle or lower current density. The influence of water content on performance of MEA is quantified, and variation of equivalent circuit model is an excellent indicator of water content. Secondly, the comprehensive online AC impedance measurement method is put forward, including current excitation method, weak voltage and current signal processing method, and method for analyzing measurement error, and experiment validates measurement accuracy. The high-frequency impedance and statistical characteristic are proposed as indicator of water content. Finally, the dynamic model of the air supply system of a fuel cell engine is established and the closed-loop control of the air supply system and the water content estimation are decoupled. The experiment on a fuel cell system validates the proposed method for searching optimized operating conditions and the water management strategy.
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Introduction -- Modeling of water content in MEA for the PEM fuel cell -- Approach to online AC impedance measurement of the fuel cell -- Water content estimation of the PEM fuel cell -- Water management strategy for the PEM fuel cell.

This book focuses on water content estimation and control of the PEM fuel cell stack and the individual cell in vehicle. Firstly, the mathematical connection between polarization curve and equivalent circuit model proves importance of MEA and its feasibility to study water content. Optimizing structure of MEA realizes the internal water content recirculation of a fuel cell and improves its performance under middle or lower current density. The influence of water content on performance of MEA is quantified, and variation of equivalent circuit model is an excellent indicator of water content. Secondly, the comprehensive online AC impedance measurement method is put forward, including current excitation method, weak voltage and current signal processing method, and method for analyzing measurement error, and experiment validates measurement accuracy. The high-frequency impedance and statistical characteristic are proposed as indicator of water content. Finally, the dynamic model of the air supply system of a fuel cell engine is established and the closed-loop control of the air supply system and the water content estimation are decoupled. The experiment on a fuel cell system validates the proposed method for searching optimized operating conditions and the water management strategy.

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